An ensemble approach to predict early-stage diabetes risk using machine learning: An empirical study

UE Laila, K Mahboob, AW Khan, F Khan, W Taekeun - Sensors, 2022 - mdpi.com
Diabetes is a long-lasting disease triggered by expanded sugar levels in human blood and
can affect various organs if left untreated. It contributes to heart disease, kidney issues …

Triple-DRNet: A triple-cascade convolution neural network for diabetic retinopathy grading using fundus images

M Jian, H Chen, C Tao, X Li, G Wang - Computers in Biology and Medicine, 2023 - Elsevier
Diabetic Retinopathy (DR) is a universal ocular complication of diabetes patients and also
the main disease that causes blindness in the world wide. Automatic and efficient DR …

Deep learning in the grading of diabetic retinopathy: A review

NMA Tajudin, K Kipli, MH Mahmood, LT Lim… - IET Computer …, 2022 - Wiley Online Library
Diabetic Retinopathy (DR) grading into different stages of severity continues to remain a
challenging issue due to the complexities of the disease. Diabetic Retinopathy grading …

A comprehensive review of diabetic retinopathy detection and grading based on deep learning and metaheuristic optimization techniques

AM Dayana, WRS Emmanuel - Archives of Computational Methods in …, 2023 - Springer
Diabetic retinopathy (DR) is a microvascular disorder that causes retinal damage and
irreversible blindness. It is a condition instigated by prolonged Diabetes Mellitus. According …

Optical coherence tomography image based eye disease detection using deep convolutional neural network

Puneet, R Kumar, M Gupta - Health Information Science and Systems, 2022 - Springer
Over the past few decades, health care industries and medical practitioners faced a lot of
obstacles to diagnosing medical-related problems due to inadequate technology and …

Automated diagnosis of diabetic retinopathy using deep learning: On the search of segmented retinal blood vessel images for better performance

MB Khan, M Ahmad, SB Yaakob, R Shahrior… - Bioengineering, 2023 - mdpi.com
Diabetic retinopathy is one of the most significant retinal diseases that can lead to blindness.
As a result, it is critical to receive a prompt diagnosis of the disease. Manual screening can …

A new deep learning model for the classification of poisonous and edible mushrooms based on improved AlexNet convolutional neural network

W Ketwongsa, S Boonlue, U Kokaew - Applied Sciences, 2022 - mdpi.com
The difficulty involved in distinguishing between edible and poisonous mushrooms stems
from their similar appearances. In this study, we attempted to classify five common species of …

Hybrid framework for diabetic retinopathy stage measurement using convolutional neural network and a fuzzy rules inference system

R Ghnemat - Applied System Innovation, 2022 - mdpi.com
Diabetic retinopathy (DR) is an increasingly common eye disorder that gradually damages
the retina. Identification at the early stage can significantly reduce the severity of vision loss …

A regression-based approach to diabetic retinopathy diagnosis using efficientnet

M Vijayan - Diagnostics, 2023 - mdpi.com
The aim of this study is to develop a computer-assisted solution for the efficient and effective
detection of diabetic retinopathy (DR), a complication of diabetes that can damage the retina …

Diabetic Retinopathy Classification With Deep Learning via Fundus Images: A Short Survey

S Zhu, C Xiong, Q Zhong, Y Yao - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a microvascular disease that is associated with diabetes
mellitus. DR can cause irreversible vision loss and low vision. DR classification, that is, early …